Analysis of the Impact of Reactive Power Compensation on the Electric Power Quality of the LV Consumers in Distribution Networks of Various Characteristics

Cetkovic, D.; Klobucar, G.; Komen, Vitomir

doi:10.23919/mipro55190.2022.9803774

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…By modeling the evolution of electrical loads with respect to time, we can study the distribution and distribution of energy in a more efficient way, we can also exploit artificial intelligence to reduce operations, reduce losses, optimize production plans and synchronize decentralized multi-machine feed systems [7]. The characteristics of modern loads change over the course of a day, weeks and seasons, which makes estimating a suitable load model a very complicated operation [8], [9], especially with emerging smart grid technologies such as generators (DG), electric Int J Pow Elec & Dri Syst ISSN: 2088-8694  Advanced dynamic stability system developed for nonlinear load … (Tadjeddine Ali Abderrazak) 2033 vehicles (EV) and demand side management (DSM) [10]. However, the variation and increase of the electrical loads demanded requires system operators and academic researchers to develop reliable optimal solutions to the problems related to nonlinear models through the management on the autotransformers (LTC) [11], the adaptation and the decentralize generation planning, reactive compensation devices FACTS [12], [13], transmission with HVDC, to ensure power distribution (OPF) on critically loaded distribution networks [14].…”

Section: Introductionmentioning

confidence: 99%

Advanced dynamic stability system developed for nonlinear load

Abderrazak,

Ilyas,

Sofiane

et al. 2023

IJPEDS

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<span lang="EN-US">The conventional production of electrical energy gives rise to environmental problems and involves high production costs. To cope with the increasing demand for electrical loads and to optimize power transmission on the grid, it is imperative to shift towards renewable energies and their hybrid utilization. This planning study assesses the impact of fluctuating electric loads on bus voltages and frequency, with the objective of distributing energy in a more efficient and dynamic manner. Moreover, we delve into the implementation of artificial intelligence (IAPS) to curtail operations, minimize losses (GED), optimize production plans (EMSO), and synchronize decentralized multi-machine power systems (MMSA). Our study scrutinizes power dispatching on dynamic models of purely consuming loads, which are subject to dynamic constraints, by utilizing educational software that encompasses 13 cycles for 24 hours of frequency studies for multisource production in a standardized electrical system (EPSS). The control outcomes obtained through validation on an IEEE30 bus network display a resilient model for planned productions.</span>

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Section: Introductionmentioning

confidence: 99%

Advanced dynamic stability system developed for nonlinear load

Abderrazak,

Ilyas,

Sofiane

et al. 2023

IJPEDS

View full text Add to dashboard Cite

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Optimal Power Quality Enhancement using a Radial Distribution System with an Improved Unified Power Quality Conditioner

Osaloni,

Akinyemi,

Adebiyi

et al. 2023

Wseas Transactions on Power Systems

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Massive electric power distribution over long distances with consequential Power Quality (PQ) challenges such as voltage sags and power losses are some of the significant attributes of a Radial Distribution Network (RDN). Deployment of Power Angle Regulated (PAR) based Unified Power Quality Conditioner (UPQC) in a distribution network is also securing attraction because of the latest recorded achievements and improvements in Voltage Source Inverter (VSI) built power electronic systems. However, optimal allocation of this kind of device to mitigate PQ problems remains a challenge for achieving set objectives. Consequently, this study considers the best possible allocation of PAR and Improved-UPQC know as I-UPQC in the distribution network to enhance power network performance. The identification of optimal location is achieved through the application of hybridization of the Genetic Algorithm and Improved Particle Swarm Optimization (GA & IPSO). The deterministic approach is based on the weight factor of various objective functions. The allocation is attained with a selection of reactive power control between inverter connected in parallel and series and control angle variables of the device through its dynamic involvement of total system loss derivatives. Performances of the I-UPQC based distribution system during diverse power transfers are observed. Convergence characteristic of deterministic approach at different disturbance percentages is analyzed and presented. Imaginary power circulation enhanced the voltage-associated challenges at the range of 0.949 to 0.9977. Hence, power dissipation minimized to 1.15 percent compared to the initial 3.35 percent, according to results of I-UPQC allocation in RDN utilizing mathematical and optimization technique. Additionally, the network losses, voltage dip, and minimum bus voltage profile all fall within the regulatory standards of less than 2%, 5%, and 5%, correspondingly. Also, the performance of the compensated network for both ordinary and optimized scenarios indicated the fitness of the projected method in accomplishing an operational optimization of RDN, specifically for voltage profile (VP) improvement and I-UPQC's series and shunt inverter share imaginary power.

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Analysis of the Impact of Reactive Power Compensation on the Electric Power Quality of the LV Consumers in Distribution Networks of Various Characteristics

Cited by 2 publications

References 3 publications

Advanced dynamic stability system developed for nonlinear load

Advanced dynamic stability system developed for nonlinear load

Optimal Power Quality Enhancement using a Radial Distribution System with an Improved Unified Power Quality Conditioner

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